Triple
T11437942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsinghua National Laboratory for Information Science and Technology |
E271057
|
entity |
| Predicate | hasAcademicPartner |
P467
|
FINISHED |
| Object | School of Information Science and Technology, Tsinghua University |
E271052
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: School of Information Science and Technology, Tsinghua University | Statement: [Tsinghua National Laboratory for Information Science and Technology, hasAcademicPartner, School of Information Science and Technology, Tsinghua University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Information Science and Technology, Tsinghua University Context triple: [Tsinghua National Laboratory for Information Science and Technology, hasAcademicPartner, School of Information Science and Technology, Tsinghua University]
-
A.
Tsinghua National Laboratory for Information Science and Technology
Tsinghua National Laboratory for Information Science and Technology is a major Chinese research center focused on cutting-edge information science, engineering, and technology, affiliated with Tsinghua University in Beijing.
-
B.
Institute for Interdisciplinary Information Sciences
The Institute for Interdisciplinary Information Sciences is a leading research center at Tsinghua University focused on cutting-edge work in computer science, quantum information, and related interdisciplinary fields.
-
C.
Shenzhen Research Institute of Tsinghua University
The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
-
D.
School of Information Science and Technology
chosen
The School of Information Science and Technology is a major academic unit of Tsinghua University specializing in education and research in information science, engineering, and related technologies.
-
E.
School of Information Science and Technology
The School of Information Science and Technology is an academic unit of the University of Science and Technology of China specializing in education and research in information science, computing, and related technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088711ec8190afae9f4d9f2a11ca |
completed | April 9, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d38727fc8190b5daac83e03491e6 |
completed | April 20, 2026, 7:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.